Improving the reliability of RPM measurement of UAV propeller using outliers removal technique

J. Muliadi, A. Setiyoko, B. Kusumoputro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper consists a data reconstruction method in an Unmanned Aerial Vehicles (UAV)'s propeller speed measurement Revolution Per Minute (RPM) that is contaminated by outliers. This method will be suitable for UAV modeling, system identification or controlling purposes which required reliable data of propeller RPM from its data acquisition system. The method predicts the probable RPM value from its valid past data and use that prediction to detects the outliers out of the available measurement. Previously, the existing outlier's detection methods were found out to be too sensitive and detect too much false outliers of the following process although these were valid data. On the other hand, the decrement of sensitivity causing failures in detection process and yielding too little outliers. Hence, this UAV propeller's RPM filtering method modified the prediction of probable value of the future RPM and smoothing the filtering process and detect all the outliers out from RPM data stream.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-114
Number of pages5
ISBN (Electronic)9781728119939
DOIs
Publication statusPublished - 9 May 2019
Event4th International Conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018 - Bandung, Indonesia
Duration: 5 Dec 20187 Dec 2018

Publication series

NameProceedings - 2018 International Conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018

Conference

Conference4th International Conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018
CountryIndonesia
CityBandung
Period5/12/187/12/18

Keywords

  • Flight data measurement
  • Outliers detection
  • Outliers filtering
  • RPM measurement
  • UAV data acquisition

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